We performed a comparison between Azure Data Factory and Unifi based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The solution has a good interface and the integration with GitHub is very useful."
"The solution can scale very easily."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The initial setup is very quick and easy."
"We haven't had any issues connecting it to other products."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The controller makes it easy to control everything from one platform. The management is easy."
"It's easy to manage and support the user, our guests, and our customers if they have a problem."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"We have experienced some issues with the integration. This is an area that needs improvement."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"There are issues with certain Apple devices."
"It's stable, but it depends on the office and location."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Unifi is ranked 47th in Data Integration with 2 reviews. Azure Data Factory is rated 8.0, while Unifi is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Unifi writes "Makes integration and monitoring users very easy". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Unifi is most compared with SSIS and Informatica Enterprise Data Catalog.
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